Optimal Planning of Smart Grid With Renewable Energy Resources

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Publisher : IGI Global
ISBN 13 : 1668440148
Total Pages : 294 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Optimal Planning of Smart Grid With Renewable Energy Resources by : Jain, Naveen

Download or read book Optimal Planning of Smart Grid With Renewable Energy Resources written by Jain, Naveen and published by IGI Global. This book was released on 2021-12-10 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding the recent developments in renewable energy is crucial for a range of fields in today’s society. As environmental awareness and the need for a more sustainable future continues to grow, the uses of renewable energy, particularly in areas such as smart grid, must be considered and studied thoroughly to be implemented successfully and move society toward a more sustainable future. Optimal Planning of Smart Grid With Renewable Energy Resources offers a detailed guide to the new problems and opportunities for sustainable growth in engineering by focusing on modeling diverse problems occurring in science and engineering as well as novel effective theoretical methods and robust optimization theories, which can be used to analyze and solve multiple types of problems. Covering topics such as electric drives and energy systems, this publication is ideal for researchers, academicians, industry professionals, engineers, scholars, instructors, and students.

Optimal Planning and Management of Stochastic Demand and Renewable Energy in Smart Power Grid

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Author :
Publisher : Open Dissertation Press
ISBN 13 : 9781361315460
Total Pages : pages
Book Rating : 4.3/5 (154 download)

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Book Synopsis Optimal Planning and Management of Stochastic Demand and Renewable Energy in Smart Power Grid by : Kwok-Kei Simon Ng

Download or read book Optimal Planning and Management of Stochastic Demand and Renewable Energy in Smart Power Grid written by Kwok-Kei Simon Ng and published by Open Dissertation Press. This book was released on 2017-01-26 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation, "Optimal Planning and Management of Stochastic Demand and Renewable Energy in Smart Power Grid" by Kwok-kei, Simon, Ng, 吳國基, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: To combat global climate change, the reduction of carbon emissions in different industries, particularly the power industry, has been gradually moving towards a low-carbon profile to alleviate any irreversible damage to the planet and our future generations. Traditional fossil-fuel-based generation is slowly replaced by more renewable energy generation while it can be harnessed. However, renewables such as solar and wind are stochastic in nature and difficult to predict accurately. With the increasing content of renewables, there is also an increasing challenge to the planning and operation of the grid. With the rapid deployment of smart meters and advanced metering infrastructure (AMI), an emerging approach is to schedule controllable end-use devices to improve energy efficiency. Real-time pricing signals combined with this approach can potentially deliver more economic and environmental advantages compared with the existing common flat tariffs. Motivated by this, the thesis presents an automatic and optimal load scheduling framework to help balance intermittent renewables via the demand side. A bi-level consumer-utility optimization model is proposed to take marginal price signals and wind power into account. The impact of wind uncertainty is formulated in three different ways, namely deterministic value, scenario analysis, and cumulative distributions function, to provide a comprehensive modeling of unpredictable wind energy. To solve the problem in off-the-shelf optimization software, the proposed non-linear bi-level model is converted into an equivalent single-level mixed integer linear programming problem using the Karush-Kuhn-Tucker optimality conditions and linearization techniques. Numerical examples show that the proposed model is able to achieve the dual goals of minimizing the consumer payment as well as improving system conditions. The ultimate goal of this work is to provide a tool for utilities to consider the demand response model into their market-clearing procedure. As high penetration of distributed renewable energy resources are most likely applied to remote or stand-alone systems, planning such systems with uncertainties in both generation and demand sides is needed. As such, a three-level probabilistic sizing methodology is developed to obtain a practical sizing result for a stand-alone photovoltaic (PV) system. The first-level consists of three modules: 1) load demand, 2) renewable resources, and 3) system components, which comprise the fundamental elements of sizing the system. The second-level consists of various models, such as a Markov chain solar radiation model and a stochastic load simulator. The third-level combines reliability indices with an annualized cost of system to form a new objective function, which can simultaneously consider both system cost and reliability based on a chronological Monte Carlo simulation and particle swamp optimization approach. The simulation results are then tested and verified in a smart grid laboratory at the University of Hong Kong to demonstrate the feasibility of the proposed model. In summary, this thesis has developed a comprehensive framework of demand response on variable end-use consumptions with stochastic generation from renewables while optimizing both reliability and cost. Smart grid technologies, such as renewables, microgrid, storage, load signature, and demand

Optimal Planning and Operation of Distributed Energy Resources

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Author :
Publisher : Springer Nature
ISBN 13 : 9819928001
Total Pages : 265 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Optimal Planning and Operation of Distributed Energy Resources by : S. N. Singh

Download or read book Optimal Planning and Operation of Distributed Energy Resources written by S. N. Singh and published by Springer Nature. This book was released on 2023-08-07 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book deals with integrated distributed energy resources in existing power systems optimally to mitigate power quality issues in power systems. The book is designed for research using modern optimization techniques and a thorough analysis of renewable energy. The book provides an in-depth study of recent trends of research scope around the globe and also includes modern heuristic approaches, hands-on data, and case studies of all important dimensions of distributed energy resources. It addresses key issues such as the integration of DERs and electric vehicles, optimization algorithms, management of DERs with electric vehicles, energy pool management mechanisms, protection, and reliability in the restructured power system. This book will be useful for students, research scholars, practitioners, and academicians.

Demand Response Application in Smart Grids

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Publisher : Springer Nature
ISBN 13 : 3030313999
Total Pages : 287 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Demand Response Application in Smart Grids by : Sayyad Nojavan

Download or read book Demand Response Application in Smart Grids written by Sayyad Nojavan and published by Springer Nature. This book was released on 2020-02-18 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book analyzes the economic and technical effects of demand response programs in smart grids. A variety of operational and financial benefits are offered by demand response programs (DRPs) for load-serving entities, grid operators, and electricity consumers. The most notable advantages of DRPs are presented in this book, including decreased electricity prices, risk management, market power mitigation, and flexibility of market operations. In-depth chapters discuss the integration of demand response programs for the planning and operation of smart grids and explore the uncertainties of market prices, renewable resources and intermittent load management, making this a useful reference for a variety of different organizations and players in the electricity market, such as reliability organizations, distribution companies, transmission companies, and electric end-users.

Optimal Planning and Management of Stochastic Demand and Renewable Energy in Smart Power Grid

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Author :
Publisher :
ISBN 13 :
Total Pages : 123 pages
Book Rating : 4.:/5 (852 download)

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Book Synopsis Optimal Planning and Management of Stochastic Demand and Renewable Energy in Smart Power Grid by : Kwok-kei Ng (Electrical engineer., Simon)

Download or read book Optimal Planning and Management of Stochastic Demand and Renewable Energy in Smart Power Grid written by Kwok-kei Ng (Electrical engineer., Simon) and published by . This book was released on 2012 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Optimal Planning and Management of Stochastic Demand and Renewable Energy in Smart Power Grid

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Author :
Publisher :
ISBN 13 :
Total Pages : 123 pages
Book Rating : 4.:/5 (852 download)

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Book Synopsis Optimal Planning and Management of Stochastic Demand and Renewable Energy in Smart Power Grid by : Kwok-kei Ng (Electrical engineer., Simon)

Download or read book Optimal Planning and Management of Stochastic Demand and Renewable Energy in Smart Power Grid written by Kwok-kei Ng (Electrical engineer., Simon) and published by . This book was released on 2012 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Robust Optimal Planning and Operation of Electrical Energy Systems

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Publisher : Springer
ISBN 13 : 3030042960
Total Pages : 315 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Robust Optimal Planning and Operation of Electrical Energy Systems by : Behnam Mohammadi-ivatloo

Download or read book Robust Optimal Planning and Operation of Electrical Energy Systems written by Behnam Mohammadi-ivatloo and published by Springer. This book was released on 2019-02-06 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the recent developments in robust optimization (RO) and information gap design theory (IGDT) methods and their application for the optimal planning and operation of electric energy systems. Chapters cover both theoretical background and applications to address common uncertainty factors such as load variation, power market price, and power generation of renewable energy sources. Case studies with real-world applications are included to help undergraduate and graduate students, researchers and engineers solve robust power and energy optimization problems and provide effective and promising solutions for the robust planning and operation of electric energy systems.

Intelligent Renewable Energy Systems

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Publisher : John Wiley & Sons
ISBN 13 : 1119786274
Total Pages : 484 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Intelligent Renewable Energy Systems by : Neeraj Priyadarshi

Download or read book Intelligent Renewable Energy Systems written by Neeraj Priyadarshi and published by John Wiley & Sons. This book was released on 2022-01-19 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: INTELLIGENT RENEWABLE ENERGY SYSTEMS This collection of papers on artificial intelligence and other methods for improving renewable energy systems, written by industry experts, is a reflection of the state of the art, a must-have for engineers, maintenance personnel, students, and anyone else wanting to stay abreast with current energy systems concepts and technology. Renewable energy is one of the most important subjects being studied, researched, and advanced in today’s world. From a macro level, like the stabilization of the entire world’s economy, to the micro level, like how you are going to heat or cool your home tonight, energy, specifically renewable energy, is on the forefront of the discussion. This book illustrates modelling, simulation, design and control of renewable energy systems employed with recent artificial intelligence (AI) and optimization techniques for performance enhancement. Current renewable energy sources have less power conversion efficiency because of its intermittent and fluctuating behavior. Therefore, in this regard, the recent AI and optimization techniques are able to deal with data ambiguity, noise, imprecision, and nonlinear behavior of renewable energy sources more efficiently compared to classical soft computing techniques. This book provides an extensive analysis of recent state of the art AI and optimization techniques applied to green energy systems. Subsequently, researchers, industry persons, undergraduate and graduate students involved in green energy will greatly benefit from this comprehensive volume, a must-have for any library. Audience Engineers, scientists, managers, researchers, students, and other professionals working in the field of renewable energy.

Renewable Energy Optimization, Planning and Control

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Publisher : Springer Nature
ISBN 13 : 981198963X
Total Pages : 467 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Renewable Energy Optimization, Planning and Control by : Anita Khosla

Download or read book Renewable Energy Optimization, Planning and Control written by Anita Khosla and published by Springer Nature. This book was released on 2023-03-07 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected high-quality research papers presented at International Conference on Renewable Technologies in Engineering (ICRTE 2022) organized by Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India, during October 7–8, 2022. The book includes conference papers on the theme ‘Computational Techniques for Renewable Energy Optimization,’ which aims to bring together leading academic scientists, researchers, and research scholars to exchange and share their experiences and research results on all aspects of renewable energy integration, planning, control, and optimization. It also provides a premier interdisciplinary platform for researchers, practitioners, and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of renewable energy and resources.

Smart Power Distribution Network

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Publisher : Springer Nature
ISBN 13 : 9819967589
Total Pages : 245 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Smart Power Distribution Network by : Leijiao Ge

Download or read book Smart Power Distribution Network written by Leijiao Ge and published by Springer Nature. This book was released on 2023-10-07 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: The surge in renewable and distributed energy sources has posed significant challenges for smart power distribution network (SPDN). These challenges fall into two main categories: the unpredictability of renewable energy sources and the complexities introduced by numerous electrical devices and their interdependencies, affecting forecasting and operational performance. As the emphasis on SPDN's economic and environmental aspects grows, this book focuses on the vital themes of sustainability and cost-efficiency in SPDN forecasting, planning, and operation. It is structured into three key parts: 1. SPDN Situation Awareness: This section assesses prior research methods, analyzes their shortcomings while dissecting SPDN's unique situation awareness characteristics. Then, some forecast and virtual collection methods are presented. 2. Boosting SPDN Planning: Addressing optimal planning challenges in SPDN, this part introduces advanced modelling and algorithm solving techniques, tailored to mitigate SPDN's inherent uncertainty. 3. Enhancing SPDN Operation: Considering a variety of equipment types and controllable loads, this section explores strategies to boost SPDN operational performance. It covers control methodologies for electric vehicles, flexible loads, energy storage, and related equipments, etc. Tailored for university researchers, engineers, and graduate students in electrical engineering and computer science, this book is a valuable resource for comprehending SPDN's situation awareness, planning, and operation intricacies in the context of sustainability and economic efficiency.

Distributed Energy Resources in Local Integrated Energy Systems

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Publisher : Elsevier
ISBN 13 : 0128242140
Total Pages : 452 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Distributed Energy Resources in Local Integrated Energy Systems by : Giorgio Graditi

Download or read book Distributed Energy Resources in Local Integrated Energy Systems written by Giorgio Graditi and published by Elsevier. This book was released on 2021-02-27 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed Energy Resources in Local Integrated Energy Systems: Optimal Operation and Planning reviews research and policy developments surrounding the optimal operation and planning of DER in the context of local integrated energy systems in the presence of multiple energy carriers, vectors and multi-objective requirements. This assessment is carried out by analyzing impacts and benefits at local levels, and in distribution networks and larger systems. These frameworks represent valid tools to provide support in the decision-making process for DER operation and planning. Uncertainties of RES generation and loads in optimal DER scheduling are addressed, along with energy trading and blockchain technologies. Interactions among various energy carriers in local energy systems are investigated in scalable and flexible optimization models for adaptation to a number of real contexts thanks to the wide variety of generation, conversion and storage technologies considered, the exploitation of demand side flexibility, emerging technologies, and through the general mathematical formulations established. Integrates multi-energy DER, including electrical and thermal distributed generation, demand response, electric vehicles, storage and RES in the context of local integrated energy systems Fosters the integration of DER in the electricity markets through the concepts of DER aggregation Addresses the challenges of emerging paradigms as energy communities and energy blockchain applications in the current and future energy landscape Proposes operation optimization models and methods through multi-objective approaches for fostering short- and long-run sustainability of local energy systems Assesses and models the uncertainties of renewable resources and intermittent loads in the short-term decision-making process for smart decentralized energy systems

Integration of Renewable Energy Sources with Smart Grid

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Publisher : John Wiley & Sons
ISBN 13 : 1119750423
Total Pages : 386 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Integration of Renewable Energy Sources with Smart Grid by : M. Kathiresh

Download or read book Integration of Renewable Energy Sources with Smart Grid written by M. Kathiresh and published by John Wiley & Sons. This book was released on 2021-09-08 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: INTEGRATION OF RENEWABLE ENERGY SOURCES WITH SMART GRID Provides comprehensive coverage of renewable energy and its integration with smart grid technologies. This book starts with an overview of renewable energy technologies, smart grid technologies, and energy storage systems and covers the details of renewable energy integration with smart grid and the corresponding controls. It also provides an enhanced perspective on the power scenario in developing countries. The requirement of the integration of smart grid along with the energy storage systems is deeply discussed to acknowledge the importance of sustainable development of a smart city. The methodologies are made quite possible with highly efficient power convertor topologies and intelligent control schemes. These control schemes are capable of providing better control with the help of machine intelligence techniques and artificial intelligence. The book also addresses modern power convertor topologies and the corresponding control schemes for renewable energy integration with smart grid. The design and analysis of power converters that are used for the grid integration of solar PV along with simulation and experimental results are illustrated. The protection aspects of the microgrid with power electronic configurations for wind energy systems are elucidated. The book also discusses the challenges and mitigation measure in renewable energy integration with smart grid. Audience The core audience is hardware and software engineers working on renewable energy integration related projects, microgrids, smart grids and computing algorithms for converter and inverter circuits. Researchers and students in electrical, electronics and computer engineering will also benefit reading the book.

Smart and Sustainable Power Systems

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Publisher : CRC Press
ISBN 13 : 1351830163
Total Pages : 347 pages
Book Rating : 4.3/5 (518 download)

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Book Synopsis Smart and Sustainable Power Systems by : João P. S. Catalão

Download or read book Smart and Sustainable Power Systems written by João P. S. Catalão and published by CRC Press. This book was released on 2017-12-19 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: The smart grid initiative, integrating advanced sensing technologies, intelligent control methods, and bi-directional communications into the contemporary electricity grid, offers excellent opportunities for energy efficiency improvements and better integration of distributed generation, coexisting with centralized generation units within an active network. A large share of the installed capacity for recent renewable energy sources already comprises insular electricity grids, since the latter are preferable due to their high potential for renewables. However, the increasing share of renewables in the power generation mix of insular power systems presents a significant challenge to efficient management of the insular distribution networks, mainly due to the variability and uncertainty of renewable generation. More than other electricity grids, insular electricity grids require the incorporation of sustainable resources and the maximization of the integration of local resources, as well as specific solutions to cope with the inherent characteristics of renewable generation. Insular power systems need a new generation of methodologies and tools to face the new paradigm of large-scale renewable integration. Smart and Sustainable Power Systems: Operations, Planning, and Economics of Insular Electricity Grids discusses the modeling, simulation, and optimization of insular power systems to address the effects of large-scale integration of renewables and demand-side management. This practical book: Describes insular power systems, renewable energies, uncertainty, variability, reserves, and demand response Examines state-of-the-art forecasting techniques, power flow calculations, and scheduling models Covers probabilistic and stochastic approaches, scenario generation, and short-term operation Includes comprehensive testing and validation of the mathematical models using real-world data Explores electric price signals, competitive operation of distribution networks, and network expansion planning Smart and Sustainable Power Systems: Operations, Planning, and Economics of Insular Electricity Grids provides a valuable resource for the design of efficient methodologies, tools, and solutions for the development of a truly sustainable and smart grid.

Risk-Based Energy Management

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Publisher : Academic Press
ISBN 13 : 0128174927
Total Pages : 294 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Risk-Based Energy Management by : Sayyad Nojavan

Download or read book Risk-Based Energy Management written by Sayyad Nojavan and published by Academic Press. This book was released on 2019-07-20 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Risk-Based Energy Management: DC, AC and Hybrid AC-DC Microgrids defines the problems and challenges of DC, AC and hybrid AC-DC microgrids and considers the right tactics and risk-based scheduling to tackle them. The book looks at the intermittent nature of renewable generation, demand and market price with the risk to DC, AC and hybrid AC-DC microgrids, which makes it relevant for anyone in renewable energy demand and supply. As utilization of distributed energy resources and the intermittent nature of renewable generations, demand and market price can put the operation of DC, AC and hybrid AC-DC microgrids at risk, this book presents a timely resource. Discusses both the challenges and solutions surrounding DC, AC and hybrid AC-DC microgrids Proposes robust scheduling of DC, AC and hybrid AC-DC microgrids under uncertain environments Includes modeling upstream grid prices, renewable resources and intermittent load in the decision-making process of DC, AC and hybrid AC-DC microgrids

Planning of Hybrid Renewable Energy Systems, Electric Vehicles and Microgrid

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Author :
Publisher : Springer Nature
ISBN 13 : 9811909792
Total Pages : 1013 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Planning of Hybrid Renewable Energy Systems, Electric Vehicles and Microgrid by : Aashish Kumar Bohre

Download or read book Planning of Hybrid Renewable Energy Systems, Electric Vehicles and Microgrid written by Aashish Kumar Bohre and published by Springer Nature. This book was released on 2022-05-21 with total page 1013 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on various challenges, solutions, and emerging technologies in the operation, control, design, optimization, and protection of microgrids in the presence of hybrid renewable energy sources and electric vehicles. This book provides an insight into the potential applications and recent development of different types of renewable energy systems including AC/DC microgrids, RES integration issues with the grid, electric vehicle technology, etc. The book serves as an interdisciplinary platform for the audience working in the focused area to access information related to energy management, modeling, and control. It covers fundamental knowledge, design, mathematical modeling, applications, and practical issues with sufficient design problems and case studies with detailed planning aspects. This book will serve as a guide for researchers, academicians, practicing engineers, professionals, and scientists, as well as for graduate and postgraduate students working in the area of various applications of RES, Electric Vehicles, and AC/DC Microgrid.

Planning and Operation of Electric Vehicles in Smart Grids

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Publisher : Springer Nature
ISBN 13 : 3031359119
Total Pages : 145 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Planning and Operation of Electric Vehicles in Smart Grids by : Mehdi Rahmani-Andebili

Download or read book Planning and Operation of Electric Vehicles in Smart Grids written by Mehdi Rahmani-Andebili and published by Springer Nature. This book was released on with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Stochastic Optimization for Distributed Energy Resources in Smart Grids

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Author :
Publisher : Springer
ISBN 13 : 3319595296
Total Pages : 84 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Stochastic Optimization for Distributed Energy Resources in Smart Grids by : Yuanxiong Guo

Download or read book Stochastic Optimization for Distributed Energy Resources in Smart Grids written by Yuanxiong Guo and published by Springer. This book was released on 2017-06-21 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: This brief focuses on stochastic energy optimization for distributed energy resources in smart grids. Along with a review of drivers and recent developments towards distributed energy resources, this brief presents research challenges of integrating millions of distributed energy resources into the grid. The brief then proposes a novel three-level hierarchical architecture for effectively integrating distributed energy resources into smart grids. Under the proposed hierarchical architecture, distributed energy resource management algorithms at the three levels (i.e., smart home, smart neighborhood, and smart microgrid) are developed in this brief based on stochastic optimization that can handle the involved uncertainties in the system.